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长期羽流追踪测量:特大城市中重型卡车的排放特征和空间分布模式。

Long-term plume-chasing measurements: Emission characteristics and spatial patterns of heavy-duty trucks in a megacity.

机构信息

State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.

State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.

出版信息

Environ Pollut. 2024 Nov 15;361:124819. doi: 10.1016/j.envpol.2024.124819. Epub 2024 Sep 3.

Abstract

Assessing the emissions of heavy-duty diesel trucks (HDDTs) is crucial for managing air quality in megacities, especially concerning nitrogen oxides (NO) and black carbon (BC). This study employed mobile plume chasing to monitor the real-world emissions of over 7778 HDDTs in Shenzhen. The findings indicate that the real-world NO emission factors (EF) of China IV trucks did not differ significantly from those of China III, whereas China V and VI vehicles demonstrated fleet-averaged reductions of 27% and 85%, respectively. For China V, a significant decrease in the NO EF for HDDTs registered after 2017 was attributed to the installation of advanced aftertreatment systems, including diesel oxidation catalysts (DOC) and Diesel Particle Filters (DPF), along with selective catalytic reduction (SCR). These technologies led to an average reduction of 42% in NO and 61% in BC emissions. Seasonal variations were pronounced, with winter (∼20 °C) NO EF 40% higher than summer (∼35 °C) levels. Conversely, BC EF decreased by 26% in winter, indicating significant impacts of ambient temperature on emissions. Spatial analysis revealed that the average NO EF of HDDTs on east freeways was 1.4 times higher than that on urban expressways, influenced by variations in the proportion of vehicle types segmented by usage. These findings offer a comprehensive perspective on HDDTs emissions, highlighting the importance of large-scale emission monitoring through plume chasing for precise and effective control of real-world HDDTs emissions.

摘要

评估重型柴油卡车(HDDT)的排放对于管理特大城市的空气质量至关重要,特别是针对氮氧化物(NO)和黑碳(BC)。本研究采用移动羽流追逐法对深圳市超过 7778 辆 HDDT 的实际排放进行了监测。研究结果表明,中国 IV 卡车的实际 NO 排放因子(EF)与中国 III 卡车没有显著差异,而中国 V 和 VI 车辆的车队平均减排率分别为 27%和 85%。对于中国 V 卡车,自 2017 年后登记的 HDDT 的 NO EF 显著下降,这归因于先进的后处理系统的安装,包括柴油机氧化催化剂(DOC)和柴油机颗粒捕集器(DPF),以及选择性催化还原(SCR)。这些技术导致 NO 排放平均减少了 42%,BC 排放减少了 61%。季节性变化明显,冬季(约 20°C)的 NO EF 比夏季(约 35°C)高 40%。相反,BC EF 在冬季下降了 26%,表明环境温度对排放有重大影响。空间分析显示,东环高速公路上 HDDT 的平均 NO EF 是城市快速路上的 1.4 倍,这受到按用途划分的车辆类型比例变化的影响。这些发现提供了对 HDDT 排放的全面视角,强调了通过羽流追逐进行大规模排放监测对于精确和有效地控制实际 HDDT 排放的重要性。

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